The Imperializer makes quick work of metric conversions

When you work in a machine shop, you often need to convert numbers from metric to imperial. As long as you have to do this on a regular basis, why not make a tool to do so easily?

Instead of pulling out a phone or taping a calculator to their CNC machinery, NYC CNC came up with an Arduino Nano-based device that does this conversion in style. “The Imperializer” features a beautifully milled enclosure that magnetically sticks onto a machine, a backlit LCD, and a toggle switch to flip between metric and imperial units.

The Imperializer is a desktop or machine mountable device that does one thing: converts inches to millimeters (and millimeters to inches)!  It uses an Arduino Nano and is powered by a Lithium battery that can be recharged with a Micro-B USB cable!

If you’d like to have your own for your shop, the bill of materials and Arduino code can be found on the project page. The housing, and even a fully-assembled version, can be purchased here.

Arduino Blog

New MPLAB Harmony Software For 32-bit PIC MCUs Makes GUI Design As Simple As Pie

New MPLAB Harmony Software For 32-bit PIC MCUs Makes GUI Design As Simple As Pie


The latest release of Microchip’s MPLAB Harmony firmware development framework for 32-bit PIC MCUs, Harmony 2.0, can now be downloaded at

Using MPLAB Harmony 2.0, developers will be able to simplify the MCU code development process by creating smaller and more efficient code, which will equate to faster and more cost-effective devices.

In addition to better quality code, the update has added numerous new tools that work within the MPLAB X Integrated Development Environment (IDE).

According to Microchip, “MPLAB Harmony is a fully integrated firmware development platform for all 32-bit PIC32 MCUs. It takes key elements of modular and object-oriented design, adds in the flexibility to use a RTOS or work without one, and provides a framework of software modules that are easy to use, configurable for specific design requirements and that are purpose built to work together.”

The new tools include an enhanced Graphics Composure Suite for the easy creation of Graphical User Interfaces (GUIs). The suite adds tools for graphic asset utilisation management, image transformation including format conversion, compression and editing, a revised What You See Is What You Get (WYSIWYG) engine for more accurate design-to-production GUI representation and a new Display Manager for easy adoption of non-standard displays.

MPLAB Harmony 2.0 also adds to the existing peripheral code library and upgrades the offering to comply with MISRA-C: 2012 Mandatory Standards.

Updates to the software framework also include additional tools and support such as a Board Support Package (BSP) Manager, stand-alone project exporting and an updated pin manager.

All of these updates, according to Microchip, are designed to drive shorter design times, lower total cost of development and increase profits.

“Studies have shown that a software development ecosystem is at least three times more important to our customers than any other aspect in their choice of MCU to implement an embedded design,” said Rod Drake, vice president of Microchip’s MCU32 division. “We’ve gathered feedback from our customers and put an immense amount of effort into making our MPLAB Harmony software framework better, faster, more efficient and more useful for developers. We know our customers will be extremely pleased with this latest update and we’ll continue to look for ways to exceed expectations.”

For more details, visit 


The post New MPLAB Harmony Software For 32-bit PIC MCUs Makes GUI Design As Simple As Pie appeared first on Internet Of Things | IoT India.

Internet Of Things | IoT India

Malware makes the Internet a “torture chamber” for DVR devices 

Malware makes Internet a torture chamber for DVR devices

SANS Technology Institute researcher shows that a DVR with default settings can be compromised within minutes of going online.

Despite the Mirai botnet bringing into focus the need for better security in IoT devices, many can still be hacked in under two minutes, according to security researchers.

In an experiment carried out by Johannes Ullrich, dean of Research at SANS Technology Institute, an Anran DVR system he bought and left connected to the internet was hacked in a matter of minutes.

Ullrich left the device in its default state, with its network ports open, and able to accept ‘root’ logins with the well-known password ‘xc3511’. He said that many worms infecting these devices will disable telnet after a successful infection, to prevent others from exploiting the weak credentials. To allow for continuous infections, he connected his DVR to a remote-controlled power outlet, and power cycled it once every five minutes. He also logged all traffic to and from the DVR.

In examining the logs over two days, he found that the system was compromised by someone or something logging in using the correct credentials every two minutes.

Experiment set-up SANS Technology Institute

Experiment set-up (Credit: SANS Technology Institute)

Read more: Amnesia malware turns DVRs into botnet slaves

DVR dangers come from “usual suspects”

Of the 1,254 attacking IP addresses logged over 45 hours and 42 minutes, IoT search engine Shodan had information for 592 of them. Ullirch said that the logs revealed that the “usual suspects” among the attackers. Most of the IPs of logins could be traced back to IoT devices from TP-Link, AvTech, Synology, and D-Link.

“While I am calling the activity ‘Mirai’, dozens of variants hit the DVR. The geographic distribution of these systems matches what we saw early on with Mirai, only counting the hosts that had Shodan information,” he said.

The demonstration showed that the issue hasn’t been dealt with properly by IoT vendors and Ullrich added that the problem “isn’t going away anytime soon.”

“If people haven’t heard yet about vulnerable DVRs and default passwords, then they will not read this article either. Variants like ‘Brickerbot’, which supposedly attempted to break vulnerable devices, are ineffective because most of these devices cannot be ‘bricked’ by overwriting a disk with ‘dd’,” he said.

“They may become temporarily unresponsive, but will be fine after a reboot. Many of these devices are buggy enough, where the owner is used to regular reboots, and that is probably the only maintenance the owner will perform on these devices.”

Read more: Search Lab finds numerous flaws in AVTech cameras and DVRs

The post Malware makes the Internet a “torture chamber” for DVR devices  appeared first on Internet of Business.

Internet of Business

Neura Makes Smart Homes Smarter With Its Artificial Intelligence Solution

Neura Makes Smart Homes Smarter With Its Artificial Intelligence Solution

Artificial Intelligence gives IoT devices and mobile apps user awareness so individuals get a personalized experience.

Neura, the technology company that uses Artificial Intelligence (AI) to let companies adapt to users at precise, meaningful moments across Internet of Things (IoT) devices and mobile apps, today announced its first Smart Home solution.

Neura’s AI technology integrates with smart home devices and apps to give each person intuitive, intelligent experiences in their smart homes. This solution allows apps and IoT devices to adapt and learn about each person in the home, accurately predicting behavior and growing smarter over time. Neura’s AI engine personalizes smart home connected devices while safeguarding individual data and privacy.

AI in the Smart Home is not some future technology; it’s a ‘here and now’ technology,” said Neura co-founder and head of product, Ori Shaashua.

“As Smart Homes begin to take hold, the time is now for companies to implement technology that leapfrogs to AI-enhanced IoT devices and creates a truly ‘intelligent home.’”

“Intelligent AI in a smart home device is the ultimate matchmaker. AI-fueled personalization helps to anticipate a consumer’s preferences and then matches the action to them. Finally, the consumer’s moments and their lifestyle are in total sync with their smart home instead of at odds with it.”

Connected devices are becoming omnipresent in every nook of the home – home intelligence, energy efficiency, entertainment, wellness, access control, home safety, home comfort, daily tasks, and connectivity. Analysts at Gartner predict that by 2020 there will be more than 20 billion IoT enabled devices, while IDC analyst Vernon Turner predicts that there will be 80 billion devices connected to the internet by 2025. Consumers are adopting smart devices like never before: a prime example is Amazon Echo, which has sold more than five million hands-free, smart speakers in only its first two years of availability.

Neura enables smart home devices – from Amazon Echo, Nest thermostat, Hue Lights, Ring smart doorbell, refrigerators and more – to better meet the needs of individual users by making their smart homes more predictive with the integration of true AI. Neura’s AI engine integrates with data coming from different smart devices and then learns from it to then make recommendations that match the individual’s lifestyle, behavior and what is happening at that moment.

Neura’s solution transforms raw sensor data from the consumers’ phones and connected devices into a pattern of behavior/behavioral profile that is meaningful to individuals. For example, Neura-enabled home security system knows to arm without motion detection when the family falls asleep and with motion detection when the family is at work and school. It then builds a profile of each individual, which is where the magic happens. Now it can predict the experience that matches the user’s specific needs in that given moment. For example, if a user switches from a programmed or app-activated thermostat to an AI-enhanced thermostat, the Neura-enhanced thermostat ‘knows’ specific family members are on their way home, and it turns on the heat or air conditioning, or when to adjust at bedtime. If everyone leaves the house, AI-enhanced lighting knows not to turn on the lights, or if all the household’s occupants drive off to work, an AI-enhanced lock knows everyone is out of the house and to lock the doors in that specific moment.

“Neura brings AI to a new level by giving smart connected devices the ability to understand and learn about each person in the home and adapt to their lifestyle, anticipating what they will prefer their products to do in a specific moment,” said Dekui Zhang, Executive Director, Lenovo Smart Device Development. “Neura represents a natural next step in the evolution of the Smart Home sector as AI becomes more and more integrated into our connected devices and daily lives.”

Neura’s AI for the Smart Home solution leverages its powerful AI engine and machine learning capabilities, which are accessed via its APIs.

The post Neura Makes Smart Homes Smarter With Its Artificial Intelligence Solution appeared first on IoT Business News.

IoT Business News

AI Makes Bike-Sharing Enjoyable For Riders

AI Makes Bike-Sharing Enjoyable For Riders

Here’s your daily newsletter showcasing the everyday worldwide developments including news & research in the field of Internet of Things (IoT) and connected devices. Following the links, you’ll know newest and hottest technologies and the important trends of this exploding world to keep you updated!

AI Makes Bike-Sharing Enjoyable For Riders

Bike Share Schemes are becoming more popular around the world and the success of these systems depends on the how resources such as bikes and docking stations are managed, so that they are available to riders when and where they need them. In pursuit of this, one of the providers of Bike Share Scheme management solutions, Stage Intelligence, has launched an accessible AI offer for small-to-medium sized enterprise (SME) bike share scheme operators. This will help operators with up to 2,000 bikes with real-time data to tackle the challenge of ensuring that the users gain access to resources where and when they need, eliminating wasted journeys. More details.

New CPU & GPU Ready For The Autonomous Driving Era 

Next-generation in-vehicle electronic systems are becoming increasingly complex, and there is a need to accelerate innovation around in-vehicle electronic processing. In a step towards this, DENSO has licensed Imagination’s newest MIPS CPU and PowerVR GPU to design a test chip which is said to feature unique technologies such as hardware multi-threading and virtualization for automotive electronic systems, including advanced driver assistance systems (ADAS) and autonomous driving. The hardware virtualization tech coming in these complex chips is a foundation for increased reliability and security, states the announcement. More details.

Toyota Camry Advances Safety With New 24GHz Radar Sensor

DENSO has developed a new 24-GHz band submillimeter-wave radar sensor which will detect vehicles to the rear and side of the vehicle to help reduce accident risk. The sensor is used in the 2018 Toyota Camry released this past July. The sensor is part of a larger system that helps drivers identify and navigate around other vehicles when changing lanes or reversing out of a parking space, and controls the autonomous emergency braking function to avoid imminent collisions. More details.

  Nokia To Develop Next-gen 5G Platform For The 5G Era

Nokia is spearheading a project that is part of the 5G-PPP (5G Infrastructure Public-Private Partnership) to develop a next generation 5G platform-as-a-service for 5G era over the next 24 months. Consortium members include BT, Orange, French IT services giant ATOS and a number of universities and SMEs, in addition to Nokia and Bell Labs.

IoT Platform Connects 28,000 More Smart Street Lights In London

Silver Spring Networks said it will deploy its Starfish platform-as-a-service (PaaS) across the City of London. Open standards-based Silver Spring platform is expected to connect 28,000 approximately 12,000 smart street lights in the City of London and 15,500 smart street lights in the Borough of Barking and Dagenham. Starfish is based on Silver Spring’s wireless network and data platform, built on the Wi-SUN IoT mesh technology specification.

Solution To Bolster Security Of Government Employees And Data

Digital identity and mobile credentials provider Intercede has partnered in MobileIron on a new derived credentials solution to secure and protect U.S. Federal Government employees and their data. The new solution will leverage MobileIron’s enterprise mobility management (EMM) platform, which is designed to help businesses to secure corporate data, drive employee productivity and enable business innovation.



The post AI Makes Bike-Sharing Enjoyable For Riders appeared first on Internet Of Things | IoT India.

Internet Of Things | IoT India